AI Faculty Hiring Initiative

Boston University (BU) invites applications for at least seven tenure-track faculty positions, and a number of possible non-tenure track positions, as part of a multiyear cluster hiring initiative in Artificial Intelligence (AI). This university-wide initiative, led by the Faculty of Computing & Data Sciences (CDS) in partnership with five schools and colleges at BU (Arts & Sciences, Business, Communication, Engineering, and Medical) aims to recruit a cadre of scholars working on foundational, methodological, and use-inspired dimensions of AI to be appointed in academic units spanning the disciplines of Computer Science, Data Science, Electrical & Computer Engineering, Emerging Media Studies, Information Systems, Linguistics, and Medicine. Successful candidates recruited through this initiative will have the opportunity to benefit from programs and pooled resources that the University will make available through CDS. All candidates pursuing basic or applied research in data science, machine learning, and AI will be considered. Candidates working in one or more of the following dimensions of AI are encouraged to apply: Foundations . Foundational research in the theories that enable the conceptualization, development, evaluation, and application of AI, including exploration of connections with topics in areas such as linguistics, cognition, algorithms, physics, biology, and biomedicine. Methodologies . Supervised, unsupervised, and reinforcement machine learning methods and platform of broad applicability, including deep neural networks, federated learning, scientific machine learning, natural language processing, large language models, and multimodal learning. Use-Inspired . AI research inspired by or tackling problems in areas beyond computing, including human-centered socio-technical systems, cognition, behavioral neuroscience, HCI, immersive media, business, finance, economics, public policy, regulatory compliance, and future of work. BU expects excellence in teaching and in research, qualifications required of all applicants include a PhD or equivalent degree; a strong record of research; a demonstrated capacity for cross-disciplinary collaboration; and a commitment to innovative teaching. Qualified faculty candidates are invited to submit their application materials through the search web portal at

https://academicjobsonline.org/ajo/jobs/28310 , indicating which of the academic units participating in this cluster hiring initiative they would like to be considered for. Review of applications will start on November 1, 2024 and will continue on a rolling basis until April 15, 2025.

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